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関連する概念動画

Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
Blind Procedures02:07

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which child was...
Random Sampling Method01:09

Random Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Blinding01:11

Blinding

Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
Censoring Survival Data01:09

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different reasons...

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関連する実験動画

Updated: Jul 6, 2026

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
08:08

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

ランダム化試験における割り当て隠蔽: 暗号解読に対する防御

Kenneth F Schulz1, David A Grimes

  • 1Family Health International, PO Box 13950, 27709, Research Triangle Park, NC, USA. KSchulz@fhi.org

Lancet (London, England)
|February 28, 2002
PubMed
まとめ

公平なランダム化対照試験には,適切な配分隠蔽が不可欠である. それなしでは,試験結果は歪められ,操作を防ぐために賢明な試験設計の必要性を強調します.

科学分野:

  • 臨床試験の方法論 臨床試験の方法論
  • バイオ統計学 バイオ統計学
  • 研究の整合性 研究の整合性

背景:

  • ランダム化対照試験 (RCT) は,エビデンスベースの医学にとって根本的なものです.
  • 適切な配分隠蔽は,RCTの完全性を維持するために非常に重要です.
  • ランダム配分配列の破壊は,隠蔽が不十分である場合に発生する可能性があります.

研究 の 目的:

  • RCTにおける強固な割り当て隠蔽の重要性を強調する.
  • 不適切な配分隠蔽による課題と影響について議論する.
  • バイアスを防ぐために,賢明な試験設計の必要性を強調する.

主な方法:

  • 概要は,臨床試験設計における割り当て隠蔽の原則について論じています.
  • ランダム配分配列の破壊の可能性を検証しています.
  • この報告書は,不十分な隠蔽が治療効果の推定に与える影響を検討している.

主要な成果:

  • 不十分な配分隠蔽は,治療効果の偏った見積もりにつながり,しばしば誇張されます.
  • 分配の改ざんは,試験結果の妥当性と信頼性を損なう.
  • 賢明な設計戦略は,研究者が割り当て配列を解読するのを防ぐために必要である.

さらに関連する動画

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
06:51

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

Published on: April 6, 2018

Acupoint Catgut Embedding Therapy in Traditional Chinese Medicine for Managing Allergic Rhinitis
03:40

Acupoint Catgut Embedding Therapy in Traditional Chinese Medicine for Managing Allergic Rhinitis

Published on: December 20, 2024

関連する実験動画

Last Updated: Jul 6, 2026

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
08:08

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
06:51

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

Published on: April 6, 2018

Acupoint Catgut Embedding Therapy in Traditional Chinese Medicine for Managing Allergic Rhinitis
03:40

Acupoint Catgut Embedding Therapy in Traditional Chinese Medicine for Managing Allergic Rhinitis

Published on: December 20, 2024

結論:

  • 有効な配分隠蔽は,選択と混同バイアスに対する試験を予防するために極めて重要です.
  • 試験設計者は警戒し,隠蔽を確保するために洗練された方法を用いる必要があります.
  • ベースライン比較の報告は重要ですが,これらの仮説のテストは推奨されません.