多阶段抽样

  • 网络Multistage sampling;multi-stage sampling;multi-level. sampling
多阶段抽样多阶段抽样
  1. 方法采取多阶段抽样,对目标人群进行询问式问卷调查。

    Methods A questionnaire was conducted among target population by multistage sampling .

  2. 方法采用多阶段抽样方法,在辽宁省朝阳市抽取农村常住居民1080人,进行问卷调查。

    Methods 1080 rural residents in Chaoyang City were selected as respondents by multistage sampling .

  3. 方法采取多阶段抽样方法,即整群分层抽样和机械抽样相结合的方法对社区居民进行入户调查,调查数据采用EPIDATA数据库录入,SAS分析软件进行统计分析。

    Methods The multi-stage sampling method , i.e. cluster and stratification sampling combined with systematic sampling , was applied to conduct a household survey of residents in communities . The data of survey were recorded with database of Epi data , and analyzed statistically with analysis software of SAS .

  4. 大型抽样调查总是采用分层多阶段抽样。

    Large-scale sample surveys are always undertaken with stratified multi-stage sampling .

  5. 多阶段抽样比率估计及其样本量的选择

    Ratio estimation method and optimum allocation of sample sizes in multi-stage sampling

  6. 多阶段抽样的精度控制及样本量计算

    Sample Sizes and Precision Control in the Multi stage Sampling

  7. 研究设计:采用多阶段抽样的横断性调查。属于二手资料分析。

    Design : It is a multi-stage cross-sectional survey and a secondary data analysis .

  8. 多阶段抽样比率估计

    Ratio estimation of multi phase sampling

  9. 比率法确定铁路家属人数的多阶段抽样调查估计

    A Multistage Sampling Survey for Quantitatively Determining the Family Members of The Railway Staff and Workers

  10. 讨论多阶段抽样比率估计及其样本量选择的问题,给出了比率估计抽样均方误差的近似公式及其渐近无偏估计的公式。

    We give the approximation formulas of the variance of the sample ratio estimator for a population mean and its asymptotically non-biased estimator in multi-stage sampling .

  11. 本文用描述流行病学方法,采用多阶段抽样方法在城市一般人群中抽取上海市区40岁以上的男性居民1582例,完成勃起功能障碍自答问卷。

    1582 men over 40 years old in Shanghai urban area , selected by multi stage sampling methods , had been investigated by the questionnaire of erectile dysfunction .

  12. 根据血吸虫病流行区居民感染率调查的现行模式,介绍了在分层多阶段抽样的抽样方式下,居民血吸虫感染率的估计和误差计算;

    In this paper , the estimation of prevalence and it 's variance calculating are discussed when clustering sampling , multistage sampling and stratified sampling being used simultaneously .

  13. 方法研究样本来自杭州、广州、重庆和太原4个城市3666名研究对象,采用多阶段抽样,家庭访问调查。

    Methods Samples including 3 666 subjects came from Hangzhou , Guangzhou , Chongqing and Taiyuan under multi-stage sampling procedure . Data were collected through a household interviewing survey .

  14. 目的:计算能用于跨人群比较的成都市成人健康期望寿命,分析健康相关因素。方法:采用多阶段抽样方法,抽取成都市三区县18岁及以上常住居民1800人。

    Objective : To calculate healthy life expectancy ( HALE ) which is comparative across populations and analyze health related factors among adults in Chengdu . Methods : A multi-stage sampling was used to obtain 1,800 permanent residents aged ≥ 18 in three districts in Chengdu .

  15. 方法:利用多阶段抽样的方法收集资料,除离散程度法、相关系数法等常用方法外新增克朗巴赫系数法和重测系数法从内部一致性和稳定性角度筛选条目。

    Methods : Collecting data by the means of multistage sampling , two new methods based on Cronbach α and test-retest reliability were employed to select items in view of internal consistency and stability in addition to the commonly used methods such as methods of dispersion and correlation coefficient .

  16. 方法采用横断面调查设计与分层多阶段随机抽样法获取样本,采用BHemoglobin血红蛋白仪,取指末梢血10μl测量Hb含量。

    Methods Cross-sectional study and randomly sampling were used . Blood was collected on tip of finger and the level of hemoglobin was measured using B-Hemoglobin photometer .

  17. 方法采用多阶段随机抽样抽取研究对象,并用套式聚合酶链反应法(nPCR)检测该人群血清中TTVDNA。

    Methods Based on the multi-stage sampling , 320 subjects were selected randomly and tested for TTV DNA in sera using a nested polymerase chain reaction ( nPCR ) .

  18. 方法以城区35~74岁常住居民为调查对象,采取多阶段随机抽样方法,进行面对面问卷调查,并测量血压。

    Methods Usual urban residents aged 35 ~ 74 were chosen as subjects of investigation .

  19. 【方法】对青海省六个项目县进行了横断面调查设计及分层多阶段随机抽样,获取样本,以身高和体重作为衡量儿童营养状况的指标。

    By cross sectional study and randomly sampling , the height and weight of the children were measured .

  20. 等概率原则是多阶段随机抽样过程中必须体现的原则。

    Equal probability principle is the principle that must be followed in the process of multi stage random sampling .

  21. 调查样本的选取采用多阶段随机抽样的方法,通过问卷调查与结构式访谈相结合的方法对调查对象进行研究。

    Survey sample selection , multi-stage random sampling method , questionnaire and structured interview method of combining survey research .

  22. 方法人口学资料用专项登记收集,膳食结构与生活习惯用多阶段随机抽样法调查。

    For the components of diet and life style , the samples were taken by a stratified random sampling method .

  23. 方法多阶段随机抽样,调查蚌埠市居民422人。采用自拟的调查表入户调查。

    Methods 422 residents from two communities were investigated door by door with questionnaire adopting random sampling method of multistage .

  24. 采用分层多阶段随机抽样方法,调查120个接种点120名接种服务提供者。

    120 EPI staffs in 120 inoculation spots had been chosen with stratified multistage random sampling method in this survey .

  25. 方法用多阶段分层抽样的方法,采用WHO制定的生命质量测定量表对1949名农村居民进行家庭健康问卷调查。

    Methods Cluster , stratified and multistage sampling was taken . 1949 residents were assigned to fill in the questionnaires designed by WHO .

  26. 方法以多阶段随机抽样方法,抽取研究对象5038例,采用询问调查、医学体检方法收集资料。

    Methods 5 038 subjects were selected with a multi-stage random sampling method , and data were collected through inquiry and medical physical examination .

  27. 方法采用分层多阶段随机抽样和标准组群抽样法,抽取全省4个不同经济收入层,120个调查点的2596名1~3岁儿童进行调查。

    [ Methods ] Stratified multi-stage random sampling and cluster sampling methods were applied to select 2 596 children aged from 1 to 3 from families of different incomes .

  28. 通过对分立式多阶段随机抽样方式的分析,发现在其随机抽样过程中存在着违背等概率原则的问题。

    Through analyzing multi stage random sampling in separate groups , we discover that in the process , there exists the question of violating the principle of equal probability .

  29. 2008年10月,以北京市朝阳区城乡18周岁以上的常住居民为研究对象,用多阶段分层抽样的方法抽取2000人进行面对面询问式的调查,其中城市1000人,农村1000人。

    Field face-to-face questionnaire survey was conducted in Chaoyang District of Beijing , in October , 2008 . The residents aged over 18 were targeted population . 2000 residents were investigated by using the method of multi-stage sampling , 1000 from urban areas and the other 1000 from rural areas .

  30. 多阶段不等概抽样

    Multi-Stage Sampling with Unequal Probabilities