Complex Surveys Components of a complex survey: random sampling; ratio estimation; stratification; clustering. How to assemble above components into a.

Slides:



Advertisements
Similar presentations
SADC Course in Statistics Choosing appropriate methods for data collection.
Advertisements

Complex Surveys Sunday, April 16, 2017.
Chapter 4 The Normal Distribution EPS 625 Statistical Methods Applied to Education I.
8.2 Sampling Distributions
THE POWER OF RADIO Ayo Palmer, Centre for Innovation Against Malaria, Banjul, The Gambia; Angela Dawson, Liverpool School of Tropical Medicine, UK; Jaye.
COLLECTING QUANTITATIVE DATA: Sampling and Data collection
Ratios,Proportions and Rates MAE Course Measures of frequency The basic tools to describe quantitatively the causes and patterns of disease, or.
Definitions Observation unit Target population Sample Sampled population Sampling unit Sampling frame.
DESIGN FEATURES OF NCHS SURVEYS By Iris Shimizu Mathematical Statistician Office of Research and Methodology, NCHS Disclaimer: The opinions in this presentation.
Health Indicators Mortality indicators Morbidity indicators
Community Medicine Community Medicine A system of delivery of comprehensive health care to the people by a health team in order to improve the health of.
Review from before Christmas Break. Sampling Distributions Properties of a sampling distribution of means:
Normal Probability Distribution Using Normal Distribution for Probability.
LECTURE 3 SAMPLING THEORY EPSY 640 Texas A&M University.
Chapter 9 Probability. 2 More Statistical Notation  Chance is expressed as a percentage  Probability is expressed as a decimal  The symbol for probability.
 What do we mean by “volume” in measurement?  How do we measure volume?
Chapter 9 Day 1. Parameter and Statistic  Parameter – a number that describes a population, usually impossible to find  Statistic – A number described.
By anne. * The tropical coast → copious amounts of rain (up to 30 feet). * In the northern → much lower (Drought). South → warmer * West → mountains.
Practice Page 128 –#6.7 –#6.8 Practice Page 128 –#6.7 =.0668 = test scores are normally distributed –#6.8 a =.0832 b =.2912 c =.4778.
MACDA U.S.A. Malaria Prevention Project 2015 by Claudia & Reuel.
Lec. 19 – Hypothesis Testing: The Null and Types of Error.
By Dr Hidayathulla Shaikh. Objectives At the end of the lecture student should be able to –  Explain types of examination  Discuss different types of.
TURKISH STATISTICAL INSTITUTE Sampling Design of 2012 Global Adult Tobacco Use Survey (GATS 2012) in Turkey (Comparison with GATS 2008) Yılmaz ERSAHIN.
Implementing cawi into the data collection process Kees van Berkel Mariëtte Vosmer Jerusalem, July 2013.
Statistical Sampling in Audit for the NSO Comptroller & Auditor General of India 1 Introduction to Statistical Sampling.
SAMPLING DISTRIBUTION
Health Indicators.
Incorporating co-morbidity: understanding inequality to improve the value of targeted public health strategies Authors: David Jeffries & Warren Stevens.
Demographic Analysis Migration: Estimation Using Residual Methods -
Sampling Meaning, Types, Procedure
Statistical Reasoning for everyday life
Dr. Unnikrishnan P.C. Professor, EEE
University of Warwick, Department of Sociology, 2012/13 SO 201: SSAASS (Surveys and Statistics) (Richard Lampard) Survey Design: Some Implications for.
Extreme Poverty, Poverty, and Near Poverty Rates for Children Under Age 5, by Living Arrangement: 2015 The data for Extreme Poverty, Poverty, and Near.
The extent of illness, injury, or disability in a defined population.
HIV surveillance in Northern Ireland 2015
American Driving Survey: 2014 — 2015 September 2016
Reduction Across States in Percentage of People Under Age 65 Who Spent a Large Share of Income on Medical Care Relative to Income 2013– –16 10%–11%
2014 Alzheimer's disease facts and figures
Sampling And Sampling Methods.
Population with foreign background in Helsinki 2017
Table 1: New HIV diagnoses, by UK country,
Complex Surveys
Extreme Poverty, Poverty, and Near Poverty Rates for Children Under Age 5, by Living Arrangement: 2011 The data for Extreme Poverty, Poverty, and Near.
Sampling Population – any well-defined set of units of analysis; the group to which our theories apply Sample – any subset of units collected in some manner.
South African HIV Care Cascades Data Sources
Central Limit Theorem for Proportions
Health and Health Care for Asian Americans, Native Hawaiians and Other Pacific Islanders (NHOPIs) in the United States May 2017.
Distribution of the Sample Proportion
جمعیت –نمونه –روشهای نمونه گیری دکتر محسن عسکرشاهی دکترای آمار زيستی
Random sampling Carlo Azzarri IFPRI Datathon APSU, Dhaka
”Thinking Quantitatively”
Distribution of Uninsured or Underinsured by Poverty, 2012
Extreme Poverty, Poverty, and
Distribution of the Sample Proportion
Health Status by Income
Extreme Poverty, Poverty, and
Sampling and Power Slides by Jishnu Das.
Basic Sampling Concepts
HIV surveillance in Northern Ireland 2018
Section 9.2 Sampling Proportions
Extreme Poverty, Poverty, and
Epidemiological Terms
Estimating Population Parameters Based on a Sample
Did not have a usual source of care Went without care because of cost
Goal 6: Combat HIV/AIDS, malaria and other diseases
Sample Sizes for IE Power Calculations.
2014 Alzheimer's disease facts and figures
Regional HIV and AIDS statistics and features, end of 2004
Extreme Poverty, Poverty, and
Presentation transcript:

Complex Surveys Components of a complex survey: random sampling; ratio estimation; stratification; clustering. How to assemble above components into a complex survey?

Malaria in Gambia Malaria occurs in over 100 countries. More than 40% of the people in the world are at risk. Malaria kills about 2 million people annually, mostly African children under the age of 5. Malaria is a serious health problem in Gambia. Malaria is transmitted by mosquito. Malaria morbidity can be reduced by using bed nets that are impregnated with insecticide.

Nationwide Survey on the Prevalence of Bed Net Use in Rural Areas (1991) Sampling frame: all rural villages of fewer than 3000 people Stage Sampling Unit Stratification Sampling Probabilities 1 District Region Proportional to district population 2 Village PHC/non-PHC Proportional to village population 3 Compound Random sampling

Estimating a Distribution Function Historically, sampling theory was developed to answer questions like “What percentage of adult males are unemployed?” or “What is the total amount of money spent on health care in the United States?” or “What is the ratio of the numbers of exotic to native birds in an area?” But Statistics other than means or totals may be of interest. For example, you may want to see the distribution of the midterm scores.