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Advanced Data Management and Analysis for Health Research Professionals

INTRODUCTION

The course focuses on providing teaching strategies on the core building blocks of statistical analysis. It will enable you to analyze your own data, guiding you on how to choose the correct statistical test and how to avoid common statistical pitfalls. It also explores the basic statistical concepts of inference, variability, and statistical significance.

DURATION

 15 days

WHO SHOULD ATTEND?

The courses would be useful to anyone working in the field of medicine wishing to broaden their knowledge in research methodology or medical statistic. Knowledge in basic statistics will be an added advantage.

LEARNING OBJECTIVES

At the end of this course, learners will be able to;

  • Recognize the key components of statistic
  • Select and apply appropriate methods to formulate and examine statistical associations between variables within a data set
  • Practice interpreting, presenting, and discussing data clearly and concisely
  • Select and apply appropriate statistical methods to analyze data from clinical trials

TOPICS TO BE COVERED

Day 1

Fundamental of statistical research

  • Research Design
  • The role and purpose of research design
  • Types of research designs
  • The research process
  • Which method to choose
  • Exercise: Identify a project of choice and developing a research design

Conducting effective surveys for health

  • Types of surveys
  • The survey process
  • Survey design
  • Methods of survey sampling
  • Determining the Sample size
  • Software tools for sampling and survey design
  • Planning a survey
  • Conducting the survey
  • After the survey
  • Exercise: Planning for a survey based on the research design selected

Day 2

Mobile data collection using ODK/kobo toolbox/epi-info

  • Data collection and questionnaire development
  • Developing flowing questionnaires
  • Data management
  • Data analysis and presentation

Day 3

Introducing Data Analysis using Excel/SPSS/Stata/R

  • Comparison of Data analysis packages
  • Overview of Excel
  • Overview of SPSS
  • Overview of Stata
  • Overview of R
  • Introduction to stat transfer for converting data into other formats
  • Exercise: Project continuation; Importing survey data into formats suitable for the reviewed software

Data Management (Excel/SPSS/Stata/R)

  • Import, Export, load and save datasets
  • Create new datasets
  • Review and document the dataset
  • Sorting and ordering
  • Appending, merging and reorganizing datasets
  • Validate data structure
  • Identify duplicate observations
  • Exercise: Data management for the survey data

Day 4

Tabulations and Graphics (/Excel/SPSS/Stata/R)

  • Type of tables
  • Tabulating Survey data
  • Basics of graphing
  • Graphing quantitative
  • Graphing qualitative data
  • Advanced graphing
  • Exercise: Preparing suitable charts and graphs for the survey

Statistical Inference

  • Tests of Association
  • Tests of Difference
  • Hypothesis testing
  • Correlation 
  • Subgroup Correlations
  • Scatterplots of Data by Subgroups
  • Overlay Scatterplots
  • Exercise: Project continuation; performing suitable inferential test and drawing inferences

Day 5

Comparing Means Using t-tests

  • One Sample t-tests
  • Paired Sample t-tests
  • Independent Samples t-tests
  • Confidence intervals

Comparing Means Using One-Way ANOVA

  • One-Way Anova
  • General Linear Model to Calculate One-Way ANOVAs

Comparing Means Using Factorial ANOVA

  • Factorial ANOVA Using GLM Univariate
  • Simple Effects

Comparing Means Using Repeated Measures ANOVA

  • Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
  • Multiple Comparisons

Day 6

Chi-Square

  • Goodness of Fit Chi Square All Categories Equal
  • Goodness of Fit Chi Square Categories Unequal
  • Chi Square for Contingency Tables

Non-parametric Statistics

  • Mann-Whitney Test
  • Wilcoxon’s Matched Pairs Signed-Ranks Test
  • Kruskal-Wallis One-Way ANOVA
  • Friedman’s Rank Test for k Related Samples

Day 7

Regression analysis

  • Linear Regression
  • Binary regression
  • Logistic Regression
  • Ordered logistic regression
  • Multinomial logistic regression
  • Regression and Multiple Regression
  • Multiple Regression
  • Two stage least square regression
  • Poisson regression
  • GLM Model
  • The Problems with regression
  • Exercise: Modeling the survey data

  Day 8 to Day 10

Time Series Analysis for Clinical Predictive Modeling Using SPSS/STATA/R

  • Introduction to time series
  • Stationary time series
  • Unobserved components and signal extraction.
  • Time Series Models
  • ARIMA models
  • Structural time series models
  • Explanatory variables and intervention analysis
  • State space models and the Kalman filter.
  • Signal extraction.
  • Missing observations and other data irregularities
  • Spectral analysis
  • Spectra of ARMA processes; stochastic cycles; linear filters; estimation of spectrum

Day 11 to Day 15

GIS and health applications using QGIS

  • Introduction to GIS and GIS software (QGIS) interface
  • Health and GIS data integration in QGIS
  • Data Visualization and  transformation using GIS, Excel, Tableau and other visualization tools
  • Heath Geodatabase Management using PostgreSQL/PostGIS
  • Health facilities and Resource Mapping using QGIS
  • Geoprocessing: Proximity, overlay and network analysis
  • Surface Analysis: Interpolation and extrapolation
  • Spatial Queries and analysis
  • Site Selection and Service routing
  • Most At Risk Populations (MARPS) Mapping
  • Designing professional health maps
  • Web Mapping using Google APIs, GeoServer, Leaflets and Open Layers

REQUIREMENTS

Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.

TRAINING VENUE

The training is residential and will be held at Mombasa, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email:This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814

TAILOR- MADE

This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B 22nd April 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

CANCELLATION POLICY

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

1.    Participants may cancel attendance 14 days or more prior to the training commencement date.

2.    No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 10 Days
Event Date 06-05-2019
Event End Date 24-05-2019
Cut off date 22-04-2019
Individual Price(Kenyan) KES 208,500
Individual Price (International) EUR 2,558
Individual Price(International in Dollars) USD 2,780
Location Mombasa, Kenya
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