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Flat View Saturday, November 18, 2017
 November 2017December 2017
Tuesday, November 21, 2017
Sample Size Estimation And Sampling Techniques (8:00 AM)
 November 21- 24, 2017

(Last date of registration: November 7, 2017)

About the Workshop

Sample size estimation is one of the key activities undertaken while designing any research study. An adequate estimate (not less and not more) of sample size is important for ethical, scientific and logistic reasons. This workshop will introduce the statistical concept behind sample size estimation and go on to have practical exercises for sample size calculation of various commonly encountered study designs and outcome variables.

Appropriate sampling techniques are essential to avoid selection bias, facilitate inference to a wider population and improve generalizability of study findings. In this workshop various sampling techniques including randomization methods for experimental designs will be covered with discussions on the advantages and disadvantages of each method.

At the end of the workshop the participants will be able to decide the sample size calculation method given the study design, appreciate the effect of assumptions on sample size calculation and choose the appropriate sampling technique.

Who should attend?

This workshop is suitable for researchers of public health, clinical care, social and behavioral sciences. Participants applying for this workshop are expected to understanding in basic statistica concepts.

Registration Fee

Indian National: 10000 INR per participant
Foreign National: 20000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.

International participants are requested to submit the fee only by E-transfer.


Download flyer Download Application Form




Wednesday, November 22, 2017
Sample Size Estimation And Sampling Techniques (8:00 AM)
November 21- 24, 2017

(Last date of registration: November 7, 2017)

About the Workshop

Sample size estimation is one of the key activities undertaken while designing any research study. An adequate estimate (not less and not more) of sample size is important for ethical, scientific and logistic reasons. This workshop will introduce the statistical concept behind sample size estimation and go on to have practical exercises for sample size calculation of various commonly encountered study designs and outcome variables.

Appropriate sampling techniques are essential to avoid selection bias, facilitate inference to a wider population and improve generalizability of study findings. In this workshop various sampling techniques including randomization methods for experimental designs will be covered with discussions on the advantages and disadvantages of each method.

At the end of the workshop the participants will be able to decide the sample size calculation method given the study design, appreciate the effect of assumptions on sample size calculation and choose the appropriate sampling technique.

Who should attend?

This workshop is suitable for researchers of public health, clinical care, social and behavioral sciences. Participants applying for this workshop are expected to understanding in basic statistica concepts.

Registration Fee

Indian National: 10000 INR per participant
Foreign National: 20000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.

International participants are requested to submit the fee only by E-transfer.


Download flyer Download Application Form




Thursday, November 23, 2017
Sample Size Estimation And Sampling Techniques (8:00 AM)
November 21- 24, 2017

(Last date of registration: November 7, 2017)

About the Workshop

Sample size estimation is one of the key activities undertaken while designing any research study. An adequate estimate (not less and not more) of sample size is important for ethical, scientific and logistic reasons. This workshop will introduce the statistical concept behind sample size estimation and go on to have practical exercises for sample size calculation of various commonly encountered study designs and outcome variables.

Appropriate sampling techniques are essential to avoid selection bias, facilitate inference to a wider population and improve generalizability of study findings. In this workshop various sampling techniques including randomization methods for experimental designs will be covered with discussions on the advantages and disadvantages of each method.

At the end of the workshop the participants will be able to decide the sample size calculation method given the study design, appreciate the effect of assumptions on sample size calculation and choose the appropriate sampling technique.

Who should attend?

This workshop is suitable for researchers of public health, clinical care, social and behavioral sciences. Participants applying for this workshop are expected to understanding in basic statistica concepts.

Registration Fee

Indian National: 10000 INR per participant
Foreign National: 20000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.

International participants are requested to submit the fee only by E-transfer.


Download flyer Download Application Form




Friday, November 24, 2017
Sample Size Estimation And Sampling Techniques (8:00 AM)
November 21- 24, 2017

(Last date of registration: November 7, 2017)

About the Workshop

Sample size estimation is one of the key activities undertaken while designing any research study. An adequate estimate (not less and not more) of sample size is important for ethical, scientific and logistic reasons. This workshop will introduce the statistical concept behind sample size estimation and go on to have practical exercises for sample size calculation of various commonly encountered study designs and outcome variables.

Appropriate sampling techniques are essential to avoid selection bias, facilitate inference to a wider population and improve generalizability of study findings. In this workshop various sampling techniques including randomization methods for experimental designs will be covered with discussions on the advantages and disadvantages of each method.

At the end of the workshop the participants will be able to decide the sample size calculation method given the study design, appreciate the effect of assumptions on sample size calculation and choose the appropriate sampling technique.

Who should attend?

This workshop is suitable for researchers of public health, clinical care, social and behavioral sciences. Participants applying for this workshop are expected to understanding in basic statistica concepts.

Registration Fee

Indian National: 10000 INR per participant
Foreign National: 20000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.

International participants are requested to submit the fee only by E-transfer.


Download flyer Download Application Form




Introduction To Data Analysis: A Short Course In SPSS (8:00 AM)
Date: 24th - 25th November 2017 – 2 days
Last date for receipt of applications – 20th November 2017

Introduction:

This short course introduces data analysis using IBM SPSS. Participants will have opportunity to analyse real life medical data.The short course will cover: data entering,data labelling, data cleaning, data computing/ transforming, and data analysis (usingcommands on menus) including summarystatistics, hypothesis test, 95% CI, ANOVA,non-parametric method, RR, OR, correlation,linear regression, logistic regression and Cox’s regression..

Learning objectives:

  • Be familiar with basic SPSS functions and its tools. These functions and tools will enable students to proficiently open and create SPSS data files..
  • Present data using SPSS generated graphs and summary statistics.
  • Conduct an independent and paired sample t-test to analyze data, where variable is collected on a continuous scale.
  • Conduct a One-Way ANOVA to compare more than two groups where the test variable is collected on a continuous scale and the data in each group follows the normal distribution.
  • Analyse data when normality assumption for data does not hold, ie. the data does not follow the normal distribution. Thus the data can be continuous, discrete or ordinal but asymmetric.
  • The statistical methods used to analyse such data are collectively known as Non- Parametric Methods or distribution free method.
  • Evaluate the effect of exposures on the outcome where outcome is continuous. However, exposure could be numerical or categorical or a combination of both.
  • Evaluate the association between an exposure and an outcome variable, where they are either binary or multinomial (morethan two categories).Evaluate the effect of exposures on the outcome where outcome is categorical BINARY and exposure could be numerical and/or categorical.
  • Evaluate the effect of exposures on the outcome where outcome is categorical Binary and time dependent (time to event data) or survival analysis.
  • Manage data (entering, labelling, creating, cleaning, etc.

Required:

Participants must bring a laptop (Windows) to this course which has either SPSS or a trial version of SPSS installed

Participants are required to have successfully completed the topics below either through previous study or attendance of the Biostatistics for Clinical and Public Health Research short course:

  • Key Concepts in Public Health and Clinical Studies.
  • Statistical Methods for Analysing Continuous Data
  • Statistical Methods for Analysing Categorical Data
  • Sample size calculation

Who should attend?:

  • Post-graduates in any discipline pursuing research (Dissertation).
  • Research Scholars pursuing PhD(Thesis).
  • Faculty from any discipline pursuing research.

Course fee.

Rs.1700/- for 1 Day and Rs.3000/- for 2 Days which includes study material, Lunch and snacks for the participants.


Limited accommodation is available on first come first served basis at the institute at extra cost.

For registering yourself as participants kindly fill in the application form and mail the scanned copy to Mr T S Ramesh on This e-mail address is being protected from spambots. You need JavaScript enabled to view it or for any queries related to the course please call on +9198801 88467.

Download Brochure Download Application Form




Saturday, November 25, 2017
Introduction To Data Analysis: A Short Course In SPSS (8:00 AM)
Date: 24th - 25th November 2017 – 2 days
Last date for receipt of applications – 20th November 2017

Introduction:

This short course introduces data analysis using IBM SPSS. Participants will have opportunity to analyse real life medical data.The short course will cover: data entering,data labelling, data cleaning, data computing/ transforming, and data analysis (usingcommands on menus) including summarystatistics, hypothesis test, 95% CI, ANOVA,non-parametric method, RR, OR, correlation,linear regression, logistic regression and Cox’s regression..

Learning objectives:

  • Be familiar with basic SPSS functions and its tools. These functions and tools will enable students to proficiently open and create SPSS data files..
  • Present data using SPSS generated graphs and summary statistics.
  • Conduct an independent and paired sample t-test to analyze data, where variable is collected on a continuous scale.
  • Conduct a One-Way ANOVA to compare more than two groups where the test variable is collected on a continuous scale and the data in each group follows the normal distribution.
  • Analyse data when normality assumption for data does not hold, ie. the data does not follow the normal distribution. Thus the data can be continuous, discrete or ordinal but asymmetric.
  • The statistical methods used to analyse such data are collectively known as Non- Parametric Methods or distribution free method.
  • Evaluate the effect of exposures on the outcome where outcome is continuous. However, exposure could be numerical or categorical or a combination of both.
  • Evaluate the association between an exposure and an outcome variable, where they are either binary or multinomial (morethan two categories).Evaluate the effect of exposures on the outcome where outcome is categorical BINARY and exposure could be numerical and/or categorical.
  • Evaluate the effect of exposures on the outcome where outcome is categorical Binary and time dependent (time to event data) or survival analysis.
  • Manage data (entering, labelling, creating, cleaning, etc.

Required:

Participants must bring a laptop (Windows) to this course which has either SPSS or a trial version of SPSS installed

Participants are required to have successfully completed the topics below either through previous study or attendance of the Biostatistics for Clinical and Public Health Research short course:

  • Key Concepts in Public Health and Clinical Studies.
  • Statistical Methods for Analysing Continuous Data
  • Statistical Methods for Analysing Categorical Data
  • Sample size calculation

Who should attend?:

  • Post-graduates in any discipline pursuing research (Dissertation).
  • Research Scholars pursuing PhD(Thesis).
  • Faculty from any discipline pursuing research.

Course fee.

Rs.1700/- for 1 Day and Rs.3000/- for 2 Days which includes study material, Lunch and snacks for the participants.


Limited accommodation is available on first come first served basis at the institute at extra cost.

For registering yourself as participants kindly fill in the application form and mail the scanned copy to Mr T S Ramesh on This e-mail address is being protected from spambots. You need JavaScript enabled to view it or for any queries related to the course please call on +9198801 88467.

Download Brochure Download Application Form




Sunday, November 26, 2017
Introduction To Data Analysis: A Short Course In SPSS (8:00 AM)
Date: 24th - 25th November 2017 – 2 days
Last date for receipt of applications – 20th November 2017

Introduction:

This short course introduces data analysis using IBM SPSS. Participants will have opportunity to analyse real life medical data.The short course will cover: data entering,data labelling, data cleaning, data computing/ transforming, and data analysis (usingcommands on menus) including summarystatistics, hypothesis test, 95% CI, ANOVA,non-parametric method, RR, OR, correlation,linear regression, logistic regression and Cox’s regression..

Learning objectives:

  • Be familiar with basic SPSS functions and its tools. These functions and tools will enable students to proficiently open and create SPSS data files..
  • Present data using SPSS generated graphs and summary statistics.
  • Conduct an independent and paired sample t-test to analyze data, where variable is collected on a continuous scale.
  • Conduct a One-Way ANOVA to compare more than two groups where the test variable is collected on a continuous scale and the data in each group follows the normal distribution.
  • Analyse data when normality assumption for data does not hold, ie. the data does not follow the normal distribution. Thus the data can be continuous, discrete or ordinal but asymmetric.
  • The statistical methods used to analyse such data are collectively known as Non- Parametric Methods or distribution free method.
  • Evaluate the effect of exposures on the outcome where outcome is continuous. However, exposure could be numerical or categorical or a combination of both.
  • Evaluate the association between an exposure and an outcome variable, where they are either binary or multinomial (morethan two categories).Evaluate the effect of exposures on the outcome where outcome is categorical BINARY and exposure could be numerical and/or categorical.
  • Evaluate the effect of exposures on the outcome where outcome is categorical Binary and time dependent (time to event data) or survival analysis.
  • Manage data (entering, labelling, creating, cleaning, etc.

Required:

Participants must bring a laptop (Windows) to this course which has either SPSS or a trial version of SPSS installed

Participants are required to have successfully completed the topics below either through previous study or attendance of the Biostatistics for Clinical and Public Health Research short course:

  • Key Concepts in Public Health and Clinical Studies.
  • Statistical Methods for Analysing Continuous Data
  • Statistical Methods for Analysing Categorical Data
  • Sample size calculation

Who should attend?:

  • Post-graduates in any discipline pursuing research (Dissertation).
  • Research Scholars pursuing PhD(Thesis).
  • Faculty from any discipline pursuing research.

Course fee.

Rs.1700/- for 1 Day and Rs.3000/- for 2 Days which includes study material, Lunch and snacks for the participants.


Limited accommodation is available on first come first served basis at the institute at extra cost.

For registering yourself as participants kindly fill in the application form and mail the scanned copy to Mr T S Ramesh on This e-mail address is being protected from spambots. You need JavaScript enabled to view it or for any queries related to the course please call on +9198801 88467.

Download Brochure Download Application Form




Monday, November 27, 2017
Economic Evaluation Of Health Care Programmes (8:00 AM)
November 27 – 30, 2017

(Last date of registration: Nov 13, 2017)

About the Workshop

Policy makers and managers have to constantly look for evidences to base and back their decisions with. These evidences come from various forms of research conducted at different levels. Economic Evaluations provide valuable evidence on the efficiency of public health programmes by combining economic and health outcome information and provide a transparent aid for decision making. This workshop would provide an overview at the various forms of Economic Evaluations and their usage. Detailed understanding of cost-effectiveveness, cost-utility and cost-benefit analysis will be provided. Participants would get hands on experience of working with data and conduct an economic evaluation using a computer based decision analysis software. Primary focus will be on cost-effectiveness analysis

At the end of this workshop participants should be able to: understand the various forms of economic evaluations and their usage, get a detailed understanding and practice of cost-effectiveness, cost-utlity and cost-benefit analysis using contingent valuation, identify various areas in their own workplaces that may benefit form economic evaluations, initiate independent studies using basic economic modelling.

Who should attend?

This workshop is suitable for development and public health workers involved in managing projects. It is expected to be beneficial for health service personnel with the responsibility of managing health posts. It would also be suitable for medical residents, faculty involved in clinical research, researchers from the industry, clinical trial managers, PhD scholars, program managers and health professionals involved in clinical care.

Registration Fee

Indian National: 10000 INR per participant
Foreign National: 20000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.

International participants are requested to submit the fee only by E-transfer.


Download flyer Download Application Form




Tuesday, November 28, 2017
Economic Evaluation Of Health Care Programmes (8:00 AM)
November 27 – 30, 2017

(Last date of registration: Nov 13, 2017)

About the Workshop

Policy makers and managers have to constantly look for evidences to base and back their decisions with. These evidences come from various forms of research conducted at different levels. Economic Evaluations provide valuable evidence on the efficiency of public health programmes by combining economic and health outcome information and provide a transparent aid for decision making. This workshop would provide an overview at the various forms of Economic Evaluations and their usage. Detailed understanding of cost-effectiveveness, cost-utility and cost-benefit analysis will be provided. Participants would get hands on experience of working with data and conduct an economic evaluation using a computer based decision analysis software. Primary focus will be on cost-effectiveness analysis

At the end of this workshop participants should be able to: understand the various forms of economic evaluations and their usage, get a detailed understanding and practice of cost-effectiveness, cost-utlity and cost-benefit analysis using contingent valuation, identify various areas in their own workplaces that may benefit form economic evaluations, initiate independent studies using basic economic modelling.

Who should attend?

This workshop is suitable for development and public health workers involved in managing projects. It is expected to be beneficial for health service personnel with the responsibility of managing health posts. It would also be suitable for medical residents, faculty involved in clinical research, researchers from the industry, clinical trial managers, PhD scholars, program managers and health professionals involved in clinical care.

Registration Fee

Indian National: 10000 INR per participant
Foreign National: 20000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.

International participants are requested to submit the fee only by E-transfer.


Download flyer Download Application Form




Wednesday, November 29, 2017
Economic Evaluation Of Health Care Programmes (8:00 AM)
November 27 – 30, 2017

(Last date of registration: Nov 13, 2017)

About the Workshop

Policy makers and managers have to constantly look for evidences to base and back their decisions with. These evidences come from various forms of research conducted at different levels. Economic Evaluations provide valuable evidence on the efficiency of public health programmes by combining economic and health outcome information and provide a transparent aid for decision making. This workshop would provide an overview at the various forms of Economic Evaluations and their usage. Detailed understanding of cost-effectiveveness, cost-utility and cost-benefit analysis will be provided. Participants would get hands on experience of working with data and conduct an economic evaluation using a computer based decision analysis software. Primary focus will be on cost-effectiveness analysis

At the end of this workshop participants should be able to: understand the various forms of economic evaluations and their usage, get a detailed understanding and practice of cost-effectiveness, cost-utlity and cost-benefit analysis using contingent valuation, identify various areas in their own workplaces that may benefit form economic evaluations, initiate independent studies using basic economic modelling.

Who should attend?

This workshop is suitable for development and public health workers involved in managing projects. It is expected to be beneficial for health service personnel with the responsibility of managing health posts. It would also be suitable for medical residents, faculty involved in clinical research, researchers from the industry, clinical trial managers, PhD scholars, program managers and health professionals involved in clinical care.

Registration Fee

Indian National: 10000 INR per participant
Foreign National: 20000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.

International participants are requested to submit the fee only by E-transfer.


Download flyer Download Application Form




Thursday, November 30, 2017
Economic Evaluation Of Health Care Programmes (8:00 AM)
November 27 – 30, 2017

(Last date of registration: Nov 13, 2017)

About the Workshop

Policy makers and managers have to constantly look for evidences to base and back their decisions with. These evidences come from various forms of research conducted at different levels. Economic Evaluations provide valuable evidence on the efficiency of public health programmes by combining economic and health outcome information and provide a transparent aid for decision making. This workshop would provide an overview at the various forms of Economic Evaluations and their usage. Detailed understanding of cost-effectiveveness, cost-utility and cost-benefit analysis will be provided. Participants would get hands on experience of working with data and conduct an economic evaluation using a computer based decision analysis software. Primary focus will be on cost-effectiveness analysis

At the end of this workshop participants should be able to: understand the various forms of economic evaluations and their usage, get a detailed understanding and practice of cost-effectiveness, cost-utlity and cost-benefit analysis using contingent valuation, identify various areas in their own workplaces that may benefit form economic evaluations, initiate independent studies using basic economic modelling.

Who should attend?

This workshop is suitable for development and public health workers involved in managing projects. It is expected to be beneficial for health service personnel with the responsibility of managing health posts. It would also be suitable for medical residents, faculty involved in clinical research, researchers from the industry, clinical trial managers, PhD scholars, program managers and health professionals involved in clinical care.

Registration Fee

Indian National: 10000 INR per participant
Foreign National: 20000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.

International participants are requested to submit the fee only by E-transfer.


Download flyer Download Application Form




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