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(1)統計圖表介紹 臺中榮總 醫學研究部 生統小組 徐倩儀 2018/1/2. 1.

(2) 常態/非常態分布 常態分佈 高斯分佈(Gaussian shape). 非常態分佈 右偏分布. 平均值為中心的對稱 曲線 Mean=Median=Mode 左偏分布. 2.

(3) 統計方法-1 資料屬 性. 兩群 獨立樣本. 連續資料. Independent t test. 序位資料 Wilcoxon Rank (連續無母 Sum test (Mann數) Whitney U test). 類別資料. Chi-square (χ2 ) test Fisher’s exact Yate’s 校正數. 3. 三群以上 獨立樣本. 相關. 前後測 比較. ANOVA. Pearson Correlation. Paired t test. Spearman's rho. Wilcoxon signed-rank test. KruskalWallis test. Chi-square (χ2 ) test. McNemar’s test.

(4) 檢定-兩群/三群以上獨立樣本 三群以上能【重覆】兩群的檢定方式嗎? A、B、C三群檢定 A/B、A/C、B/C A、B、C、D四群檢定 Null hypothesis (H0) Table of error types Decision About Null Hypothesis (H0) 4. True. False. Reject. Type I error (False Positive). Correct inference (True Positive). Fail to reject. Correct inference (True Negative). Type II error (False Negative). Type I and type II errors (https://en.wikipedia.org/wiki/Type_I_and_type_II_errors#Table_of_error_types).

(5) 統計方法-2 資料屬性 自變項(X). 連續資料 類別資料. 5. 依變項(Y). 統計方法. 連續資料. 線性回歸 (Linear regression). 類別資料. 邏輯回歸 (Logistic regression). 連續資料 類別資料. 存活率分析 (Cox Proportional Hazard Regression Model, Cox. Model).

(6) Analgesic use, parents’ clan, and coffee intake are three independent risk factors of chronic kidney disease in middle and elderly-aged population: a community-based study. 6.

(7) Analgesic use, parents’ clan, and coffee intake are three independent risk factors of chronic kidney disease in middle and elderly-aged population: a community-based study. 7.

(8) Analgesic use, parents’ clan, and coffee intake are three independent risk factors of chronic kidney disease in middle and elderly-aged population: a community-based study. 8.

(9) Analgesic use, parents’ clan, and coffee intake are three independent risk factors of chronic kidney disease in middle and elderly-aged population: a community-based study. 9.

(10) Association between habitual coffee consumption and normal or increased estimated glomerular filtration rate in apparently healthy adults. 10.

(11) Association between habitual coffee consumption and normal or increased estimated glomerular filtration rate in apparently healthy adults. 11.

(12) Association of coffee consumption and chronic kidney disease: A meta-analysis. 12.

(13) Association of coffee consumption and chronic kidney disease: A meta-analysis. 13.

(14) 問題1. Table3.重症病患腸管灌食之死亡及存活狀態與達目標熱量百分比分析 Death (n=26) Alive (n=30) Multivariable analysis n (%) n (%) OR (95 % CI) p value 達熱量百分比 12 (46.2%) 3 (10.0%) 8.28 (1.72-39.93) 0.008** <50% ≧50% 14 (53.8%) 27 (90.0%) ref. 達熱量百分比 16 (61.5%) 5 (16.7%) 10.05 (2.24-45.09) 0.003** <60% ≧60% 10 (38.5%) 25 (83.3%) ref. 達熱量百分比 21 (80.8%) 13 (43.3%) 4.64 (1.29-16.67) 0.019* <70% ≧70% 5 (19.2%) 17 (56.7%) ref. 達熱量百分比 <80% 24 (92.3%) 17 (56.7%) 9.19 (1.68-50.23) 0.010* ≧80% 2 (7.7%) 13 (43.3%) ref. 達熱量百分比 <67% 21 (80.8%) 8 (26.7%) 11.89 (2.92-48.33) 0.001** 5 (19.2%) 22 (73.3%) ref. ≧67% Logistic regression. Adjusted for age, APACH II and SOFA-day1. *p<0.05, **p<0.01. 14.

(15) 問題2. 15.

(16) 問題3 Table5. Cox regression Univariate analysis HR (95 % CI) p value 1.02 (0.98-1.06) 0.266 1.24 (0.56-2.75) 0.594. 16. Age Gender (Female vs Male) BMI <18.5 2.00 (0.44-9.20) 18.5-24 0.75 (0.31-1.77) ≧24 ref. Apache II(≧20 vs <20) 1.05 (0.25-4.51) SOFA-day7 1.12 (1.01-1.24) NUTRI Score 1.19 (0.87-1.62) NUTRI Score(≧5 vs <5) 0.62 (0.14-2.75) 置入鼻腸管時間 0.99 (0.96-1.03) Lab data WBC 1.00 (1.00-1.00) CRP 0.93 (0.87-1.00) PCT 0.98 (0.95-1.01) NT-ProBNP 1.00 (1.00-1.00) 達熱量百分比 (≧50% vs <50%) 0.37 (0.17-0.83) 達熱量百分比 (≧67% vs <67%) 0.14 (0.05-0.41) 共病症 DM 0.62 (0.23-1.65) 腎臟病 1.02 (0.41-2.57) 心血管 1.09 (0.48-2.48) 癌症 0.78 (0.34-1.83) 其他 0.56 (0.23-1.34) Cox regression. *p<0.05, **p<0.01.. Multivariable analysis (n=52) HR (95 % CI) p value. Multivariable analysis (n=52) HR (95 % CI) p value. 0.371 0.507 0.943 0.040* 0.267 0.525 0.667 0.030* 0.041* 0.192 0.249 0.016* <0.001 0.334 0.965 0.843 0.574 0.192. 1.07 (0.95-1.19) 0.257 0.95 (0.85-1.07) 0.395. 1.00 (1.00-1.00) 0.430 1.00 (1.00-1.00) 0.798 0.96 (0.89-1.03) 0.220 0.95 (0.88-1.03) 0.229. 0.61 (0.24-1.55) 0.294 0.09 (0.02-0.36) 0.001**.

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