short course in biostatistics · mlm versus gee: comparison between random coefficients and gee...

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Course Fee : Rs. 5,000/- Multiple Linear Regression, Logistic Regression & Survival Analysis August 26 - 29, 2019 from 8.30am to 6.00pm Venue: New Examination Hall, Bagayam Campus, Adjacent to Canteen Christian Medical College, Bagayam, Vellore 632 002. This course is intended to improve participant's ability to conduct regression analyses and study the relationship between response variable and multiple predictor variables. This course is also intended to sharpen the skills of analyzing binary outcome data and interpreting regression coefficients. This course is targeted towards epidemiologist, biostatisticians, Demographers and other medical researchers. The primary bio-statistical tools in modern medical research are single-outcome, multiple-predictor methods: multiple linear regressions for continuous outcomes, logistic regression for binary outcomes, and the Cox proportional hazards model for time-to-event outcomes. Applying these methods and interpreting the results requires some introduction. However, introductory statistics courses have no time to spend on such topics. And therefore often neglected or misused by the researchers. The Logistics regression and Survival analyses modules are time tested and the concepts of Cox Proportional hazard model is made simple and understandable. The diagnostics to study whether the model fits the data will also be imparted though good and bad examples. Participants will have to bear their own expenses for travel, boarding and lodging. The Organizers will provide Course kit, Lunch and Snacks. However, the organizers may arrange basic accommodation with A/C facility in the college campus on request. Only limited accommodation is available in the campus and priority will be given to the female participants. Course Fee should be paid in full by August 19, 2019. Payment can be made by Demand Draft in favor of “Christian Medical College Vellore Association Account”, payable at Vellore. Please use the attached “Application Format” for registration to be sent, along with the required Demand Draft (DD). Note: After Registration if cancelled the course fee will not be refunded. The number of participants for each course is limited to 45 and admission will be purely on first come first served basis. Course Content Regression Analysis Introduction to Regression Simple Linear Regression Assumptions Tests of Slop and intercept Multiple Linear Regression Model Building strategy Assessing Best Fit Multicollinearity Problem and Diagnostics Logistic Regression Introduction to Logistic Regression, Rationale Single & Multiple Logistic Regressions Creating dummy variables Model Building Assessing Best Fit Diagnostics Matched Data Analysis Ordinal response logistic regression Survival Analysis Introd. to Survival Analysis Kaplan Meier Survival Curves Comparison of two Survival Curves Cox Proportional Hazards Model Proportional Hazards Assumption (Graphical Approach and Goodness of Fit) Statistical Software: SPSS & STATA (Analyses) Course Fee : RS. 10,000/- (Inclusive of 18% GST) WHY SHOULD SOMEONE ATTEND? Short Course in Biostatistics Accommodation HOW TO APPLY www.cmc-biostatistics.ac.in http://clinepi.cmcvellore.org Address for communication Course Coordinator Mr. M. MadhanKumar / Mr. Sasikumar Dr. L. Jeyaseelan, Clinical Epidemiology Unit, Professor Christian Medical College, Vellore 632 004. India. Email: [email protected] Phone: (0416) 2282329, 2282759 Faculty Dr. L. Jeyaseelan Professor

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Page 1: Short Course in Biostatistics · MLM versus GEE: Comparison between random coefficients and GEE Statistical Software: SPSS, MlWin & STATA Course Fee : RS. 5,000/- (Inclusive of 18%

Course Fee : Rs. 5,000/-

Multiple Linear Regression, Logistic Regression & Survival Analysis

August 26 - 29, 2019 from 8.30am to 6.00pm

Venue: New Examination Hall,

Bagayam Campus, Adjacent to Canteen

Christian Medical College, Bagayam, Vellore 632 002.

This course is intended to improve participant's ability to conduct regression analyses and study

the relationship between response variable and multiple predictor variables. This course is also

intended to sharpen the skills of analyzing binary outcome data and interpreting regression

coefficients.

This course is targeted towards epidemiologist, biostatisticians, Demographers and other medical

researchers.

The primary bio-statistical tools in modern medical research are single-outcome, multiple-predictor

methods: multiple linear regressions for continuous outcomes, logistic regression for binary

outcomes, and the Cox proportional hazards model for time-to-event outcomes. Applying these

methods and interpreting the results requires some introduction. However, introductory statistics

courses have no time to spend on such topics. And therefore often neglected or misused by the

researchers. The Logistics regression and Survival analyses modules are time tested and the

concepts of Cox Proportional hazard model is made simple and understandable. The diagnostics

to study whether the model fits the data will also be imparted though good and bad examples.

Participants will have to bear their own expenses for travel, boarding and lodging. The

Organizers will provide Course kit, Lunch and Snacks. However, the organizers may arrange

basic accommodation with A/C facility in the college campus on request. Only limited

accommodation is available in the campus and priority will be given to the female participants.

Course Fee should be paid in full by August 19, 2019.

Payment can be made by Demand Draft in favor of “Christian Medical College Vellore

Association Account”, payable at Vellore.

Please use the attached “Application Format” for registration to be sent, along with the required

Demand Draft (DD).

Note: After Registration if cancelled the course fee will not be refunded. The number of

participants for each course is limited to 45 and admission will be purely on first come first

served basis.

Course Content

Regression Analysis

Introduction to Regression

Simple Linear Regression

Assumptions

Tests of Slop and intercept

Multiple Linear Regression

Model Building strategy

Assessing Best Fit

Multicollinearity Problem and Diagnostics

Logistic Regression

Introduction to Logistic Regression, Rationale

Single & Multiple Logistic Regressions

Creating dummy variables

Model Building

Assessing Best Fit

Diagnostics

Matched Data Analysis

Ordinal response logistic regression

Survival Analysis

Introd. to Survival Analysis

Kaplan Meier Survival Curves

Comparison of two Survival Curves

Cox Proportional Hazards Model

Proportional Hazards Assumption (Graphical Approach and Goodness of Fit)

Statistical Software: SPSS & STATA (Analyses)

Course Fee : RS. 10,000/- (Inclusive of 18% GST)

WHY SHOULD SOMEONE ATTEND?

Short Course in Biostatistics

Accommodation

HOW TO APPLY

www.cmc-biostatistics.ac.in http://clinepi.cmcvellore.org

Address for communication Course Coordinator Mr. M. MadhanKumar / Mr. Sasikumar Dr. L. Jeyaseelan,

Clinical Epidemiology Unit, Professor

Christian Medical College,

Vellore 632 004. India.

Email: [email protected]

Phone: (0416) 2282329, 2282759

Faculty

Dr. L. Jeyaseelan Professor

Page 2: Short Course in Biostatistics · MLM versus GEE: Comparison between random coefficients and GEE Statistical Software: SPSS, MlWin & STATA Course Fee : RS. 5,000/- (Inclusive of 18%

Course Fee : Rs. 5,000/-

Repeated measures: In medical research repeated measures (Longitudinal) data analyses are very common. Diabetes patients are followed periodically over time (every 6 month for example two years) to study the impact of treatment in HbA1c level. The usual regression analyses assumes that the repeated measure data is independent, while they are dependent (correlated) in nature. or the observations within an individual are correlated. Assuming independence while the observations are correlated would provide a narrow CI for the regression coefficients thus paving the way for highly significant results. Therefore the right analyses would be to capture the amount of correlation within the individual level and adjust that correlation in the regression analyses. This procedure is cal led Generalized Estimating Equation (GEE).

Multilevel models are basically regression models of data that have a hierarchical or clustered structure. Such kind of data arises routinely in many fields, for instance in growth studies (where students are nested within class rooms and class rooms are nested within schools. Thus the first level is class room and the higher level is school), family studies (with children nested within families), and in medical research (with patients nested within physicians or hospitals). Clustered data may also arise based on specific research design. For example, in large scale survey research the data collection is usually organised in some sort of multistage sampling design that results in clustered design. Hierarchical linear models, Random coefficient models, Variance component models or multilevel random coefficient models are other names for the multilevel models. Repeated measures analyses is a single level MLM.

Practicals and Software: Practical will be followed by a lecture and real time data will be used for practicals. Practicals will be taught using SPSS, MLWIN (copy will be provided) and STATA.

Who should attend: Biostatisticians/ Statisticians, Epidemiologists, Medical Researchers and Social Scientists who have basic knowledge in Regression analyses.

Participants will have to bear their own expenses for travel, boarding and lodging. The Organizers will provide Course kit, Lunch and Snacks. However, the organizers may arrange basic accommodation with A/C facility in the college campus on request. Only limited accommodation is available in the campus and priority will be given to the female participants.

Course Fee should be paid in full by August 23, 2019. Payment can be made by Demand Draft in favor of “Christian Medical College Vellore Association Account”, payable at Vellore. Please use the attached “Application Format” for registration to be sent, along with the required Demand Draft (DD). Note: After Registration if cancelled the course fee will not be refunded. The number of participants for each course is limited to 45 and admission will be purely on first come first served basis.

Course Content

Multilevel Modeling (MLM)

Multi-stage sampling and multilevel

theories : Macro, micro level units and

cross-level relations

Statistical treatment of clustered data :

Aggregation, disaggregation, Intra-cluster

correlation coefficient (ICC), design effect

in two stage sampling

The random intercept model : Definition,

within and between group regressions,

simple and multiple regression models

The random slope model: Introduction,

analyses and interpretation, explanation

of random intercept and slope

Generalized Estimating Equations (GEE)

Introduction to longitudinal data:

Traditional methods: Repeated measures

Analysis of Variance, summary measures

and relationship with other variables

Generalized estimating equations-The

best approach: Introduction, working

correlation structures, GEE for continuous

and categorical outcome, interpretation

and diagnostics (QIC)

MLM versus GEE: Comparison between

random coefficients and GEE

Statistical Software: SPSS, MlWin &

STATA

Course Fee : RS. 5,000/- (Inclusive of 18% GST)

Short Course in Biostatistics

Accommodation

HOW TO APPLY

Course Coordinator & Faculty Dr. L. Jeyaseelan,

Professor

Multilevel Modeling (MLM) and Longitudinal / Random Effect Modelling

August 30 - 31, 2019 from 8.30am to 6.00pm

Venue: New Examination Hall,

Bagayam Campus, Adjacent to Canteen

Christian Medical College, Bagayam, Vellore 632 002.

Faculty

Dr. L. Jeyaseelan Professor

www.cmc-biostatistics.ac.in http://clinepi.cmcvellore.org

Address for communication

Mr. M. MadhanKumar / Mr. Sasikumar

Clinical Epidemiology Unit,

Christian Medical College,

Vellore 632 004. India.

Email: [email protected]

Phone: (0416) 2282329, 2282759

Page 3: Short Course in Biostatistics · MLM versus GEE: Comparison between random coefficients and GEE Statistical Software: SPSS, MlWin & STATA Course Fee : RS. 5,000/- (Inclusive of 18%

NAME IN CAPITAL : D R / M R / M S / M R S _______________________________________

(FOR CERTIFICATE PURPOSE)

AGE : ______ SEX : M / F

EDUCATIONAL BACKGROUND :________________________________________________________

DESIGNATION : ________________________________________________________

DEPARTMENT :________________________________________________________

INSTITUTION :________________________________________________________

ADDRESS :________________________________________________________

:________________________________________________________

STATE : ________________________________________________________

PHONE & MOBILE : ________________________________________________________

PERSONAL EMAIL : ________________________________________________________

OFFICIAL EMAIL : ________________________________________________________

ACCOMMODATION : REQUIRED / NOT REQUIRED

(PRIORITY WILL BE GIVEN TO THE FEMALE PARTICIPANTS)

IF REQUIRED, TENTATIVE DATE & TIME: ARRIVAL _________________________________________

DEPARTURE _______________________________________

COURSES OPTED FOR : (PLEASE ENCIRCLE)

1. MULTIPLE LINEAR REGRESSION, LOGISTIC REGRESSION & SURVIVAL ANALYSIS (RS. 10,000)

2. MULTILEVEL MODELING (MLM) AND LONGITUDINAL / RANDOM EFFECT MODELLING (RS. 5000)

DD AMOUNT : RS. ____________ DATE : ____________

DD NUMBER : _______________ BANK : __________________________

NOTE: AFTER REGISTRATION IF CANCELLED THE COURSE FEE WILL NOT BE REFUNDED

Department of Biostatistics, CMC, Vellore-2

SHORT COURSE IN BIOSTATISTICS AUGUST 26 – 31, 2019

REGISTRATION FORM

SIGNATURE

Page 4: Short Course in Biostatistics · MLM versus GEE: Comparison between random coefficients and GEE Statistical Software: SPSS, MlWin & STATA Course Fee : RS. 5,000/- (Inclusive of 18%

List of Hotels available in Vellore

Vellore city STD code is +91- 416

Hotel name Single

non AC

Double

non AC

Single

AC

Double

AC

Phone

Nos

Distance

from

Venue

(approx)

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http://www.mmresidency.in 950/- 1200/- 1200/- 1600/- 2245500 10 kms.

Lingam Residency 650/- 650/- 950/- 950/- 2220971 6 kms.

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Arunachalam Lodge 700/- 1400/- 2210979 6 kms.

AMP Lodge 300/- 400/- 3292652 1 Km.

Ananda Bhavan

[email protected] 500/- 2266770 1 Km.

Note: Rates may be subject to revision