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Epidemiology And Bio-statistics Using Stata by FINERESULTS(m): 12:00pm On Jul 19, 2023 |
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online. 11/09/2023 to 22/09/2023 Epidemiology and Bio-Statistics Using Stata 06/11/2023 to 17/11/2023 Epidemiology and Bio-Statistics Using Stata INTRODUCTION Participants will learn the principles of epidemiology and biostatistics and gain skills in using epidemiological and biostatistical tools to describe, monitor and investigate the determinants of population health. The statistical background required to conduct research, describe, summarize, develop hypothesis, assess associations, analyze data, interpret and communicate results will be studied comprehensively. The course targets health care professionals who wish to consolidate their knowledge and skills and increase their understanding of the importance of epidemiology and statistics in public health today. DURATION 10 Days COURSE OBJECTIVES At the end of the course, participants will be able to: • Use epidemiological and biostatistical tools to describe, monitor and investigate the determinants of population health. • Gain key statistical background necessary for conducting valid research • Describe and summarize data • Develop hypothesis and analyze data. • Interpret and communicate results Module 1: Introduction to Stata • Starting Stata • Setting layout • Directory management commands • Data types in Stata • Using Stata as a calculator • Stata command and options • Stata do-files • Creating data sets directly in Stata • Rename of variables • Managing variables and/or variable properties • Importing data from other software • Exporting data to other software • Loading data into the memory • The in and if qualifiers • The by prefix • Create subsets (keep and drop) • Create random variables (from distributions) • Random sampling • Sort variables • Change order of variables • Count number of observations • Generate sequential numbers • Working with dates • Viewing data sets • Interrupting computations • Help Module 2: Creating and changing variables • Create new variables • Extended generate command • Duplicate an existing variable • Replace contents of a variable • Convert numeric to string • Convert string numbers to numeric • Convert numeric values to missing and vice versa • Recode string variables • Decode numerically coded variables • Transforming a continuous variable to categorical • Reduce number of categories of a categorical variable • Managing duplicates Transforming variables and data sets • Split variables • Extract parts of variables • Standardize variables • Create dummy variables • Create separate variables • Transpose variables • Stack variables • Unstack variables • Appending data sets • Combining data sets by a common variable • Convert datasets from wide to long • Convert datasets from long to wide • Some application to data cleaning Introduction to Stata graphics • The graphics dialog windows • Graph elements (x and y labels, titles, legends) • Graph appearance (marker symbol, color, size, line • width, pattern, e.t.c) • Multiple graphs (by option) • Graphics syntax • Adding text and annotations to graphs • Saving and printing graphs • Combining active graphs into one figure • Graphics window (interactive plotting) • Common graphs and charts Module 3: Biostatistics Introduction to statistical concepts • Review of research process • Research designs • Sampling techniques • Types of data • Descriptive statistics • Graphs for descriptive statistics Hypothesis testing • Definitions • Statistical inference • Generalizability • Confidence intervals in clinical research • P-values in clinical research • Hypothesis testing • Interpreting hypothesis test results Tests of differences in population means • One sample t tests • Two sample independent t tests • Two sample paired t test • One way analysis of variance • Two way analysis of variance Module 4: Analysis of contingency tables • Introduction • Two by two tables: Proportion test • Two by two tables: Fisher’s exact test • McNemar matched pairs for binary response • Other measures of association Non-parametric methods • Sign test • Wilcoxon signed-rank test • Median test • Wilcoxon signed-sum (Mann-Whitney) test • Kolmogorov-Sminorv goodness-of-fit test • Kruskal-Wallis one way analysis of variance • Friedman two-way analysis of variance • Spearman rank correlation • Nonparametric regression analysis Linear regression and correlation • Overview • Pearson correlation analysis • Simple linear regression • Multiple linear regression • Interpret results from linear regression • Regression diagnostics Module 5: Epidemiology Measures of disease frequency • Importance of measures of disease frequency • Measures of risk and association • Risk verses prevention • Prevalence • Incidence, cumulative incidence & incidence density • Relationship between prevalence and incidence • Stratification of disease frequency Module 6: Measures of effect for categorical data • Risk difference • Risk ratio • Attribute fraction • Attribute risk • Relative risk • Odds ratio Measures of effect for stratified categorical data • Mantel-Haenzsel test • Odds ratio for stratified data • Odds ratio for matched pairs studies • Testing for trends Vital statistics • Introduction • Death rates and ratios • Measures of fertility • Measures of morbidity Clinical research designs • Study population • Exposure and outcome • Study designs • Causation Module 7: • Case report and series • Cross-sectional studies • Cohort studies • Cohort study design • Ascertainment • Advantages • Disadvantages • Poisson regression for cohort studies Case-control studies • Case-control study design • Advantages • Disadvantages • Unconditional logistic regression • Conditional logistic regression Misclassification • Definition • Non-differential misclassification • Differential misclassification • Assessing misclassification Module 8: Confounding • Confounding overview • Evaluation of confounding factors • Confounding by indication Remedies for confounding • Restriction • Stratification • Matching • Regression • Randomization • Interpretation after adjusting for confounding • Unadjusted verse adjusted association: confounding Effect modification • Overview • Synergy between exposure variables • Effect modification verses confounding • Evaluation of effect modification • Effect modification in clinical research articles • Effect modification on the relative and absolute scales Module 9: Introduction to survival analysis • Overview • Organizing survival data for computer use • Censoring (right and left) • Truncation (right and left) • Plotting survival data (the Kaplan-Meier curve) • Log-rank tests • Hazard rates • Cox proportional hazard models Module 10: Research ethics and statistics • Introduction • Protection of human research subjects • Informed consent • Equipoise • Research integrity • Authorship policies • Data and safety monitoring boards *************************** TRAINING CUSTOMIZATION This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org REQUIREMENTS Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops. TRAINING FEE Cost: In-person USD 1000 Online USD 900 Registration September in-person/online November in-person/online Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org For any registration of 3 or more participants; we offer a discount of up to 10%. This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training. ACCOMMODATION Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org PAYMENT Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org CANCELLATION POLICY • All requests for cancellations must be received in writing. • Changes will become effective on the date of written confirmation being received. |
Re: Epidemiology And Bio-statistics Using Stata by Jking20(m): 12:32pm On Jul 19, 2023 |
Interesting... |
Re: Epidemiology And Bio-statistics Using Stata by DSS1335: 12:52pm On Jul 19, 2023 |
Very interesting. I got MsPH degree 10 years ago and wish to go for a major in Epidemiology then PhD. I would have loved to participate |
Re: Epidemiology And Bio-statistics Using Stata by TimePiece(f): 12:26am On Feb 01 |
I am in need of a private tutor who is very knowledgeable of statistics and how to use Rstudio on it. This is like an intro class into statistical inferences. I want the class to take place 2-3 times weekly online. Reply to this post if you’re interested. Thank you. |
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