biostatistics

biostatistics的音标是/"baɪoʊstɪstɪstɪks/，基本翻译是生物统计学，速记技巧可以是利用词根记忆法将其记为“比数计统计”（bi-比、number数量、statistics统计）。

Biostatistics，即生物统计学的英文名称，其词源可以追溯到希腊语和拉丁语。Biostatics意为“生物的静态”，其中“bios”表示生物，“statos”表示静态。而“statistics”则来自拉丁语“statisticus”，意为“被计算或统计的”。

相关单词：

1. Biometric：生物计量学，指的是使用统计学和数学方法研究生物特征的测量和表示。

2. Statistical analysis：统计学分析，是生物统计学的核心部分，包括数据收集、整理、描述和分析。

3. Probability theory：概率论，是生物统计学的基础，用于研究随机现象。

4. Regression analysis：回归分析，是生物统计学中用于研究因变量和自变量之间关系的方法。

5. Data mining：数据挖掘，是生物统计学中用于从大量数据中提取有用信息的方法。

以上这些词汇在生物科学领域中应用广泛，对于理解生物数据的性质和特征，以及探索生物现象的规律具有重要意义。同时，这些词汇也在不断发展和演变，为生物统计学的研究和应用提供了更多可能。

常用短语：

1. Statistical analysis 统计分析

2. Data analysis 数据分析

3. Biostatistics 生物统计

4. Sample size 样本大小

5. Power analysis 功效分析

6. Confidence interval 置信区间

7. Statistical significance 统计显著性

例句：

1. Biostatisticians are responsible for conducting statistical analysis of data collected from experiments. 生物统计学家负责对实验收集的数据进行统计分析。

2. The sample size was determined based on the power analysis to ensure the study was adequately powered. 样本大小是根据功效分析确定的，以确保研究具有足够的效力。

3. The results showed a statistically significant difference between the two groups. 结果显示两组间存在统计上的显著差异。

4. The data analysis revealed that the new treatment was more effective than the control group. 数据分析显示新治疗法比对照组更有效。

5. Statistical significance is crucial in biostatistics as it provides evidence of the reliability of the findings. 在生物统计学中，统计显著性至关重要，因为它提供了研究结果可靠性的证据。

6. Biostatistics is an essential component of medical research as it helps to ensure that the findings are accurate and reliable. 生物统计学是医学研究的重要组成部分，因为它有助于确保结果的准确性和可靠性。

7. The importance of biostatistics cannot be overstated in the field of medical research, as it plays a crucial role in ensuring the validity of the findings. 在医学研究领域，生物统计学的重要性怎么强调都不过分，因为它在确保研究结果的有效性方面发挥着至关重要的作用。

英文小作文：

Biostatistics is a crucial component of medical research, as it plays a crucial role in ensuring the validity of the findings and helping to identify potential biases and errors in the data collected. Through careful analysis of data, biostatisticians can provide valuable insights into the effectiveness of various treatments, identify trends and patterns in disease incidence, and help to develop more targeted and effective interventions for patients.

Moreover, biostatistics plays a key role in ensuring that the sample size and power analysis are conducted properly, which helps to minimize sampling errors and maximize the reliability of the findings. By using appropriate statistical methods and techniques, biostatisticians can provide accurate and reliable results that can guide researchers and clinicians in making informed decisions about their research programs and patient care practices.

In conclusion, biostatistics is an essential component of medical research that plays a crucial role in ensuring the validity and reliability of the findings. Through its use, biostatisticians can provide valuable insights that can help to improve patient outcomes and advance medical science and research in general.