Only EVEN numbers. A Practical Approach to Analyzing Healthcare Data Study Desig
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Only EVEN numbers.
A Practical Approach to Analyzing Healthcare Data Study Design and Sarmple Sel 2 What information should be included in a sampling plan? a. Universe or population b. Random seed ohortze control study swhich of the following represents an atribute study? Inclusion and exclusion criteria All of the above 1EstiDRG change rate after documentation querles n ate the amount of overpayment at a clinic of the following scenarios represents a non-probability sampl a. A sample of I0 selected via random number assignment b. A sample of the first 10 students entering a classroom c. A sample of all of the records coded on a randomly selected date d. A sample of the first 10 subjects on a list sorted by the last two di Esibae the length of stay for the typical CHF patient Estimae he number of claim denials at a hospital digits of their social security number References 1. dedicase Progran Ivntegrity Manaa! Ch ving the last month The sanning frame s pesented to the atzlaf. 2009. Health Infonmatics Resesarck; Methods: Principles em is more appropriate in this situation?icao. IL: At Gl (OIG), 2012, Corporate Integrity Agreement FAQ, Intps.) hard copy list. What sampling technique is more appropriate in this situat anait E. and V a. Simple random sample Systematic sample Cluster sample b. hoe of Inspector Cieneral (olo), 2012. Corporate Int e-integrity-agreements-faq asp.emernt FAO https c, I (OIG). 2007. RAT-STATS - Statistical Software. httpliog R d. Stratified sample ofice of Inspector General compliance/ra Jones and Bartlett Publishers. A listing of all subjects eligible to be sampled is called: E 2006. Statistical Applications for Health Informnation Management, 2nd 5. a Sample b. Strata c. Random number d. Sampling frame Why is setting and recording the random seed important in random number a. All random number generation programs require a seed b. The random numbers will be reproducible c. The sample is not random unless the seed is set d. The random seed is not important in sampling 6. What impact does increasing the sample size have on precision? a. b. c. 7. Larger sample size results in a less precise estimate Large sample sizes result in a more precise estimate Sample size does not impact precision 8. RAT-STATS is: a. A sampling software tool distributed by the OIG b. A procedure in Statistical Analysis System c. A function in the Excel Data ToolPak d. A practice dataset for statisticians 9. Which of the following study designs allows the researcher to determine the cause and effect relationship between two variables? a. Case-control study b. Retrospective studyExplanation / Answer
2. A sampling plan should include population, random seed and inclusion and exclusion criteria.
The answer is d. All of the above.
4. Since no attributes of the patients are mentioned and a list is provided
b. systematic sampling may be more appropriate.
6. Setting and recording random seed is important in random number generation because
b. The random numbers will be reproducible.
8. RAT-STATS is a
a. A sampling software tool distributed by OIG.
10. The length of stay for the typical CHF patient is an attribute for each patient.
The answer is c.
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