1 Weighted Sequential Hot Deck Imputation : SAS Macro vs . SUDAAN ’ s PROC

نویسندگان

  • David Izrael
  • Michael P. Battaglia
چکیده

Item non-response is a challenge faced by virtually all surveys. Item non-response occurs when a respondent skips over a question, refuses to answer a question, or indicates that they do not know the answer to a question. Hot deck imputation is one of the primary item non-response imputation tools used by survey statisticians. Recently, new competitor in the field of Weighted Sequential Hotdeck Imputation has arrived: PROC HOTDECK of SUDAAN®, version 10. We compared the results of imputation using the new procedure with the results of the Hotdeck SAS® Macro with respect to: a) how close the post-imputation weighted distributions and standard errors of the estimates are to those of the item respondent data; b) whether there is a difference in the number of times donors contribute to the imputation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

SAS· Macros Useful in Imputing Missing Survey Data

After survey data are collected, data items for which no response was given must be dealt with. In one commonly used procedure, hot deck imputation, a value from an item respondent is donated to a similar item nonrespondent for whom the value is missing. Using this procedure, nonresponse bias can be minimized for point estimates produced from the imputation-revised data set, and the underlying ...

متن کامل

133-2007: Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS®, SUDAAN®, and AM® Software

Data collected from complex sample surveys are frequently used in secondary data analysis. The analysis of such data using standard statistical software yields biased point estimates of parameters and incorrect standard errors as a result of unequal probabilities of selection of observations, stratification and clustering, and unit nonresponse. The appropriate analysis of data from complex samp...

متن کامل

A SAS Macro for Applying Multiple Imputation to Multilevel Data

Single-level multiple imputation procedures (e.g., PROC MI) are not appropriate for multilevel data sets where observations are nested within clusters. Analyzing multilevel data imputed with a single-level procedure yields variance estimates that are biased toward zero and may yield other biased parameters. Given the prevalence of clustered data (e.g., children within schools; employees within ...

متن کامل

تحلیل مشاهدات گمشده در مطالعه اثر دوزهای مختلف مکمل ویتامین D بر مقاومت به انسولین در دوران بارداری

Introduction: The aim  of  this  study  was to impute missing data  and  to compare the effect  of  different doses of  vitamin D supplementation on  insulin resistance during  pregnancy. Methods: A clinical trial  study   was done on 104  women  with diabetes and gestational age less than 12 weeks between 1391 and...

متن کامل

A Comparison of Imputation Methods for Missing Data in a Multi-center Randomized Clinical Trial: the Impact Study

IMPACT is a multi-center randomized controlled trial of a disease management program for late life depression. Like many longitudinal clinical trials, this study faces problems of item-nonresponse, unit-level non-response and drop out. In this paper, we compare two approaches to handle incomplete data. The first approach is based on hot-deck multiple imputation of missing response, using a modi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011