Random. \Essays\Random

Similar documents
1. The chance of getting a flush in a 5-card poker hand is about 2 in 1000.

Sampling Terminology. all possible entities (known or unknown) of a group being studied. MKT 450. MARKETING TOOLS Buyer Behavior and Market Analysis

The topic for the third and final major portion of the course is Probability. We will aim to make sense of statements such as the following:

Sampling Designs and Sampling Procedures

The next several lectures will be concerned with probability theory. We will aim to make sense of statements such as the following:

Statistics, Probability and Noise

Probability - Introduction Chapter 3, part 1

The study of probability is concerned with the likelihood of events occurring. Many situations can be analyzed using a simplified model of probability

Why Randomize? Jim Berry Cornell University

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Note 13

November 6, Chapter 8: Probability: The Mathematics of Chance

Laboratory 1: Uncertainty Analysis

Stats: Modeling the World. Chapter 11: Sample Surveys

Honors Statistics. Daily Agenda

Section Summary. Finite Probability Probabilities of Complements and Unions of Events Probabilistic Reasoning

Important Distributions 7/17/2006

Randomized Evaluations in Practice: Opportunities and Challenges. Kyle Murphy Policy Manager, J-PAL January 30 th, 2017

Unit 8: Sample Surveys

Discrete Structures for Computer Science

Heads Up! A c t i v i t y 5. The Problem. Name Date

Chapter 9. Producing Data: Experiments. BPS - 5th Ed. Chapter 9 1

Contents 2.1 Basic Concepts of Probability Methods of Assigning Probabilities Principle of Counting - Permutation and Combination 39

Chapter 3 Monday, May 17th

Polls, such as this last example are known as sample surveys.

2. Combinatorics: the systematic study of counting. The Basic Principle of Counting (BPC)

The Last Diminisher Method Game Steps

Verification & Validation

Chapter 12 Summary Sample Surveys

LC OL Probability. ARNMaths.weebly.com. As part of Leaving Certificate Ordinary Level Math you should be able to complete the following.

AP Statistics S A M P L I N G C H A P 11

A GRAPH THEORETICAL APPROACH TO SOLVING SCRAMBLE SQUARES PUZZLES. 1. Introduction

Probability. Dr. Zhang Fordham Univ.

November 8, Chapter 8: Probability: The Mathematics of Chance

EECS 203 Spring 2016 Lecture 15 Page 1 of 6

ECON 214 Elements of Statistics for Economists

Section 6.5 Conditional Probability

23 Applications of Probability to Combinatorics

Chapter 3: Elements of Chance: Probability Methods

SOME EXAMPLES FROM INFORMATION THEORY (AFTER C. SHANNON).

CH 13. Probability and Data Analysis

Simulations. 1 The Concept

Honors Statistics. Daily Agenda

Combinatorics: The Fine Art of Counting

Grade 8 Math Assignment: Probability

Sample Surveys. Chapter 11

How to Make the Perfect Fireworks Display: Two Strategies for Hanabi

3. Data and sampling. Plan for today

Pattern Avoidance in Unimodal and V-unimodal Permutations

Sample Surveys. Sample Surveys. Al Nosedal. University of Toronto. Summer 2017

MAT 155. Key Concept. Notation. Fundamental Counting. February 09, S4.7_3 Counting. Chapter 4 Probability

We all know what it means for something to be random. Or do

Analysis Techniques for WiMAX Network Design Simulations

A Probability Work Sheet

Combinatorics and Intuitive Probability

Outline of Presentation

Sampling. I Oct 2008

Probability Interactives from Spire Maths A Spire Maths Activity

Chapter 8. Producing Data: Sampling. BPS - 5th Ed. Chapter 8 1

UNIT 8 SAMPLE SURVEYS

6. Methods of Experimental Control. Chapter 6: Control Problems in Experimental Research

Compound Probability. Set Theory. Basic Definitions

STAT Chapter 14 From Randomness to Probability

Section 6.1 #16. Question: What is the probability that a five-card poker hand contains a flush, that is, five cards of the same suit?

Asymptotic and exact enumeration of permutation classes

Stat472/572 Sampling: Theory and Practice Instructor: Yan Lu Albuquerque, UNM

Basic Practice of Statistics 7th

Dominant and Dominated Strategies

CHAPTERS 14 & 15 PROBABILITY STAT 203

3. A box contains three blue cards and four white cards. Two cards are drawn one at a time.

Understanding User Privacy in Internet of Things Environments IEEE WORLD FORUM ON INTERNET OF THINGS / 30

Chapter 5 - Elementary Probability Theory

Lesson A7 - Counting Techniques and Permutations. Learning Goals:

Improved Draws for Highland Dance

Differential Cryptanalysis of REDOC III

Probability and Statistics

COMPOUND EVENTS. Judo Math Inc.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

CSE 312 Midterm Exam May 7, 2014

The Savvy Survey #3: Successful Sampling 1

Why Randomize? Dan Levy Harvard Kennedy School

Chapter 12: Sampling

Probabilities and Probability Distributions

Problem Set 2. Counting

Example 1. An urn contains 100 marbles: 60 blue marbles and 40 red marbles. A marble is drawn from the urn, what is the probability that the marble

PUBLIC EXPENDITURE TRACKING SURVEYS. Sampling. Dr Khangelani Zuma, PhD

Chapter 1. Probability

Vincent Thomas Mule, Jr., U.S. Census Bureau, Washington, DC

Chapter 6: Probability and Simulation. The study of randomness

Gathering information about an entire population often costs too much or is virtually impossible.

The student will explain and evaluate the financial impact and consequences of gambling.

MATHEMATICAL MODELS Vol. I - Measurements in Mathematical Modeling and Data Processing - William Moran and Barbara La Scala

RANDOM EXPERIMENTS AND EVENTS

Mathematical Foundations HW 5 By 11:59pm, 12 Dec, 2015

Sampling distributions and the Central Limit Theorem

Pedigree Reconstruction using Identity by Descent

Capture-recapture studies

MAT 1272 STATISTICS LESSON STATISTICS AND TYPES OF STATISTICS

Key Concepts. Theoretical Probability. Terminology. Lesson 11-1

Full file at

not human choice is used to select the sample.

Transcription:

is a currency word in trials. It or the word randomization forms the basis for 100+ entries in the Clinical Trials Dictionary (Meinert, 1996). 1 The word has magical properties. As a modifier, eg, as in randomized trial, it creates an aura of respectability and credibility akin to that of the Good Housekeeping Seal of Approval for things we buy. ization the act of assigning persons to treatment according to some random process is assumed to "ensure" the comparability of the treatment groups represented in the trial (ization is also essential to ensure balance for any unknown as well as known confounders 2 ). is of English, French, and German origins meaning to run. As a descriptor, random is used as a characterization of something having no specific pattern or objective, eg, as in random chatter. and haphazard are used interchangeably in everyday discourse. Haphazard is listed as a synonym for random in The American Heritage Dictionary (2nd College Edition) and Webster s Tenth New Collegiate Dictionary. In the strict discourse of science the word is generally reserved for characterizing processes having an underlying known probability base. That base is lacking or unknown with haphazard processes. The fact that something lacks pattern or that it looks, feels, and smells like something random is not sufficient justification for use of the label if the user cannot identify the underlying probability function producing the result. Hence, a system of assignment based on order of arrival of patients at a clinic is haphazard but not random. But there are exceptions. For example, in random number generator. The numbers coming from such generators look, feel, and smell like random numbers but the sequence is deterministic, generated by a "seed" (number arbitrarily specified by the user to start the sequence). As noted above, the expectation is that randomization will produce treatment groups having comparable entry and baseline characteristics. Although the expectation is usually satisfied, there is no "guarantee" of comparability. Large differences in the treatment groups can occur by chance in the same way that one can have a long and fortuitous (or disastrous) run of luck at the blackjack table. Hence, an aberrantly small p-value for a given baseline difference does not, by itself, provide evidence of a "breakdown" (due to tampering, peeking, or other subversive acts to control the assignment process) of randomization. Large differences, indicated by small p-values, are to be expected by chance alone. If one wants a "guarantee" of comparability, one has to resort to stratification or other maneuvers. The primary purpose of randomization is to avoid treatment-related selection bias. 3 The notion of bias free assignment is at the heart of any comparative trial and chance, via randomization, represents the best available tool for achieving bias-free assignment. That being the case, it is ironic that random remains one of the most abused terms in trials. The label is loosely applied to all manner of assignment schemes, sometimes even to systematic schemes dictated by day of arrival or the like. The blame for the abuse rests with authors and editors. The intermingling of random and haphazard in everyday usage increases the chance of the intermingling in what trialists write. Study investigators who misuse the word in everyday talk (eg, by requesting random blood sugar determinations when, in fact, they mean haphazard blood sugar determinations) are likely to do so when they write as well. That risk plus the tendency, perhaps in us all, to use the language of flower and inflation when we write, means that many schemes, that, at best, are haphazard are described as random. 1 \Essays\

2 Editors have to accept their fair share of the blame in perpetuating the misuse. They are too willing to accept the word as a descriptor without supporting documentation. There is some hope for rehabilitation of the word with increasing emphasis placed on reporting requirements for trials. Proposed reporting standards 2,4,5 recognize the need for details regarding the assignment process. Those details, if provided, should allow readers to determine whether the word has been properly used. random adj, general - [ME impetuosity, fr MF randon, fr OF, fr randir, to run, of Gmc origin, akin to OHG rinnan to run] 1. Having or appearing to have no specific pattern or objective. 2. Of or designating a chance process in which the occurrence of previous events is of no value in predicting future events. 3. haphazard syn: chance, casual, haphazard Usage note: Avoid; use haphazard, casual, chance, or quasirandom to avoid confusion with random adj, scientific. See also note for lottery. random adj, scientific - 1. Of or relating to a value, observation, assignment, arrangement, etc, that is the result of chance. 2. Of or relating to a sequence, observation, assignment, arrangement, etc, that is the result of a chance process in which the probability is known or can be determined. 3. Of or relating to a pseudorandom process that has the properties of one that is random. 4. Of or relating to a single value, observation, assignment, or arrangement that is the result of randomization. syn: chance, lottery (not recommended synonyms, except in lay usage, as in consent statements describing the treatment assignment process) ant: nonrandom rt: pseudorandom, quasirandom Usage note: Subject to misuse. Avoid in the absence of a probability base (as in random blood sugar in reference to routine blood sugar determinations); use haphazard or some other term implying less rigor than does random. Misuse in the context of trials arises most commonly in relation to characterizations of treatment assignment schemes as random that are systematic or haphazard. See also note for lottery. Other related words or terms random assignment n -1.Assignment or designation made using randomization. 2. An assignment that is the result of a random process or pseudorandom process. 3. random treatment assignment 4. haphazard treatment assignment Usage note: Avoid in the sense of defn 4; see note for random adj, scientific. randomize, randomized, randomizing, randomizes v - To arrange, order, mix, or assign by use of randomization. ant: nonrandomized rt: random Usage note: See random. randomized n - The condition of having been assigned to a treatment via a random process; normally considered to have occurred when the treatment assignment is revealed to any member of the clinic staff, eg, when an envelope containing the treatment is opened at the clinic. randomized trial n - 1. randomized controlled trial 2. A trial involving random treatment assignment. 3. A trial involving randomization of treatment. ant: nonrandomized trial Usage note: Preferred to randomized controlled trial for reasons indicated in the usage note for that term. Also see that comment for limitations on usage of the modifier randomized. random number n -A number generated or drawn via some defined random or pseudorandom process. random number generator n - A system for generating random or pseudorandom numbers, eg, a computer program generating such numbers. \Essays\

3 pseudorandom adj - Being or involving entities, such as numbers, that are generated, selected, or ordered by a deterministic process that can be shown to generate sequences or orders that satisfy traditional statistical tests for randomness. rt: quasirandom, random Usage note: Most computational schemes for generation, though usually referred to random number generators, are in fact pseudorandom. Generally, they are built using deterministic computational procedures that rely on a user supplied seed to start the generation process; use of the same seed on different occasions will generate the exact same sequence of numbers. pseudorandom number n -Anumber that has been generated using a deterministic process, such as those underlying most computer packages for generation, that can be shown to generate sequences of numbers that meet traditional statistical tests for randomness [Knuth, 1969]. 6 rt: quasirandom number, random number quasirandom adj - 1. Appearing to be or resembling something random; random like. 2. Of, relating to, or concerned with a process considered to approximate a formal randomization process. 3. Being or involving entities, such as numbers, that are selected or ordered by some rule or procedure (eg, one based on the order in which people arrive at a clinic) that generates sequences that can be viewed as being like those produced or expected with a random process but where the rule or procedure is not amenable to testing, or if tested can be shown to yield results that do not satisfy traditional statistical tests for randomness. rt: pseudorandom, random Usage note: Not to be confused with pseudorandom. See notes for random adj, scientific and pseudorandom. quasirandom number n -Anumber that has been generated by a rule or procedure (eg, one based on Social Security number) that generates sequences of numbers that can be viewed as being like those produced or expected with a random process, but where the rule or procedure is not amenable to testing, or if tested can be shown to yield results that do not satisfy traditional statistical tests for randomness. rt: pseudorandom number, random number Usage note: See note for quasirandom. Dictionary entries with random or randomization as a base or modifier term adaptive random treatment assignment n adaptive randomization n adaptive randomization design n balanced randomization n balanced randomization list n baseline adaptive randomization n Bernoulli random variable n biased coin randomization n blind randomization n blocked randomization n closed randomization n cluster randomization n complete randomization n completely masked randomization n completely randomized design n completely randomized treatment design n controlled randomization n dependent random variable n \Essays\

4 dynamic randomization n fixed randomization design n group randomization n independent random variable n lognormal random variable n masked randomization n nonrandom adj nonrandom trial n nonrandomized v nonrandomized trial n normal random variable n number adaptive randomization n open randomization n outcome adaptive random treatment outcome adaptive randomization n partially masked randomization n post-randomization adj post-randomization examination n post-randomization followup visit n post-randomization visit n prerandomization adj prerandomization examination n prerandomization visit n pseudorandom adj pseudorandom number n pseudorandom process n pseudorandomization n quasirandom adj quasirandom number n quasirandom process n quasirandomization n random adj, general random adj, scientific random access adj random access memory (RAM) n random allocation n random assignment n random digit dialing n random effect n random error n random number n random number generator n random order n random permutation n random process n random sample n random sampling n random start n random treatment assignment n \Essays\

5 random variable n random variation n random walk n random-effects model n randomization n randomization breakdown n randomization design n randomization examination n randomization list n randomization override n randomization test n randomization unit n randomization visit n randomize, randomized, randomizing, randomizes v randomized n randomized block n randomized block design n randomized clinical trial (RCT) n randomized consent n randomized control n randomized control trial (RCT) n randomized controlled clinical trial n randomized controlled trial (RCT) n randomized response technique n randomized trial n randomly selected control n randomness n randomness test n restricted random assignment n restricted randomization n simple random sample n simple randomization n standardized random variable n stratified random assignment n stratified random sample n stratified random sampling v stratified random treatment assignment n stratified randomization n stratified-blocked randomization n systematic random sample n telephone randomization n test for randomness n uncontrolled randomization n unit randomization n unmasked randomization n unrestricted random assignment n unrestricted randomization n urn model randomization n \Essays\

6 References 1 Meinert CL: Clinical Trials Dictionary: Terminology and Usage Recommendations. The Johns Hopkins Center for Clinical Trials, Baltimore, 1996 (Meinert, 1996) 2 Standards of Reporting Trials Group: A proposal for structured reporting of randomized controlled trials. JAMA 272:1,926-1,931, 1994. (Standards Group, 1994) 3 Meinert CL, Tonascia S: Clinical Trials: Design, Conduct, and Analysis. Oxford University Press, New York, 1986. (Meinert and Tonascia, 1986) 4 Begg C, Cho M, Eastwood S, Horton R, Moher D, Olkin I, Pitkin R, Rennie D, Schultz KF, Simel D, Stroup DF: Improving the quality of reporting of randomized controlled trials: The CONSORT statement. JAMA 276:637-639, 1996. (CONSORT Group, 1996) 5 Rennie D: How to report randomized controlled trials: The CONSORT statement. JAMA 276:649, 1996. (Rennie, 1996) 6 Knuth DE: Seminumerical Algorithms (vol 2; Art of Computer Programming). Addison-Wesley Publishing Co, Reading, Mass, 1969. (Knuth, 1969) (Mon 6:06am) 15 Nov 04 \Essays\ \Essays\